Simulating Process-Product Interdependencies in Battery Production Systems

Matthias Thomitzek*, Oke Schmidt, Fridolin Röder, Ulrike Krewer, Christoph Herrmann, Sebastian Thiede

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

20 Citations (Scopus)
116 Downloads (Pure)


Battery production requires a highly complex manufacturing process chain consisting of different process steps. Both product and process parameters deviate throughout the whole process chain. Shape and scale of those distributions heavily affect subsequent process steps and final battery quality. Multi-level Simulation can be used to predict the impact of different distributions. In the paper, a concept is presented describing how process parameters and its distributions influence structure of intermediate products, which in turn affect battery performance. The former transition is realized through an agent-based process chain model approach while the latter uses an extended pseudo-2-dimensional battery model.

Original languageEnglish
Pages (from-to)346-351
Number of pages6
JournalProcedia CIRP
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 - Stockholm, Sweden
Duration: 16 May 201818 May 2018
Conference number: 51


  • Manufacturing system
  • Simulation
  • Statistical process control

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